A 3d multiresolution segmentation algorithm for surface reconstruction from ct data

Alan Kalvin; Shmuel Peleg

doi:10.1117/12.953258

A 3d multiresolution segmentation algorithm for surface reconstruction from ct data

Alan Kalvin, Shmuel Peleg

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

Multiresolution data structures, such as image pyramids, have many different uses in image processing and analysis. We present a segmentation algorithm which uses image pyramids for efficient segmentation of 3D images. The segmented objects are converted from a voxel to a polyhedral surface representation. Results of experiments on synthetic and actual CT data are presented, and future enhancements to the algorithm are discussed.

Original language	English
Pages (from-to)	173-182
Number of pages	10
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	1092
DOIs	https://doi.org/10.1117/12.953258
State	Published - 25 May 1989

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A 3d multiresolution segmentation algorithm for surface reconstruction from ct data

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